Predicting diabetic kidney disease with serum metabolomics and gut microbiota
| Title | Predicting diabetic kidney disease with serum metabolomics and gut microbiota |
|---|---|
| Description | This study aims to identify biomarkers for reliably predicting diabetic kidney disease (DKD), systematically characterize serum metabolites and gut microbiota in DKD patients,and investigate the correlation between differential serum metabolites and gut microbiota |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Open-access |
| BioProject | PRJCA029343 |
| Release Date | 2024-08-23 |
| Submitter | Kedan Cai (caikedan@ucas.edu.cn) |
| Organization | Ningbo Number two Hospital |
| Submission Date | 2024-08-22 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX007172-01 | DKD DM NC | 90 | Metabolome Data by Mass Spectrometry (MS) | 29.3 MB | zip | 0 |